291–300 of 370 posts
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Um, are you talking about Tableau or Mondrian coupled with Saiku/Pentaho?
Mondrian and Pentaho was a disaster for us, and Pentaho were pretty aggressive about trying to sell us a support contract to fix it
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Are there other examples of poor UX? Overeager pattern matching alone wouldn't bother me, but if it's a sign of other inattentiveness...
Periscope is in a distinct, lower tier of usability. You write SQL. Or, put differently, the innovation of Tableau was so you don't have to write SQL for most visual encodings, even non-trivial ones.
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I evaluated 15 different similar solutions and trying to settle on one. Curious as to what your friends are switching to.
I've been meaning to write a blog post about this actually. Maybe I'll actually do it :) I guess it depends what you're trying to do. What part(s) of what Tableau offers do you care most about? How big of an organization? Chart.io is one product I evaluated that met our requirements. We cared most about collaborative querying and the ability to run templatized reports (including regenerating them via the API) so we e…
Earlier quoted context omitted.
I evaluated 15 different similar solutions and trying to settle on one. Curious as to what your friends are switching to.
I've been meaning to write a blog post about this actually. Maybe I'll actually do it :) I guess it depends what you're trying to do. What part(s) of what Tableau offers do you care most about? How big of an organization? Chart.io is one product I evaluated that met our requirements. We cared most about collaborative querying and the ability to run templatized reports (including regenerating them via the API) so we e…
Tableau is a good product. I use it daily. There simply is no better alternative for quick ad-hoc, enterprise-level, intuitive graph and dashboard making. I've been at large orgs where we evaluated all the cloud services like Mixpanel and the ilk, but they are very different use cases. Tableau + Redshift (or Vertica but Redshift is way less expensive) is the typical BI tech stack. When I go a client or a new job and…
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Most big companies are actually just fine with nonsensical results. It's a bit odd, but I've realized that nobody who uses BI actually cares much about data quality or integrity.
This. BI in large corporations is usually done by people having no clue about the data, producing bullshit results, leading to "insights" to management (who at that point have have no clue that all the cost columns were added up, regardless of currency), leading to a final "product strategy" that gets implemented over the next years, while in all the companies still producing innovation, this is usually done by a rog…
i've only ever worked at small companies, and i guess to avoid things like this is why, but i can't help but wonder how common this is, and if in fact no one has ever used BI effectively. i find that hard to believe but really i have no idea, and its an interesting thought, makes you want to chuckle or shake your head or both.
Analysis --> Ipython
No room for Tableau and similar.
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Tableau is a great product but with a high price stigma. I really like it, when clients asking for recommendation my first answer is Tableau. They like the product and the features but the reaction is always the same: nice, but it's too expensive for us, we'll go with PowerBI. Competing with Microsoft is a tough game.
MS SQL server is very expensive, especially thanks since their recent license changes. Microsoft BI (PowerBI, etc) is to lock you in to their ecosystem (MSSQL, Excel, SharePoint/Office365, Windows Servers/Azure cloud).
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Is it able to do everything the client software can do?
It's limited to flat files, so you have to plan ahead on what data you'll explore. In terms of the viz - feature parity, but not quite the same at all if you want to do exploration. Which is too bad, because Tableau's ease of exploration is what makes it so much more valuable than PowerBI or custom d3.
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Lol, so I use Tableau every week. For example today I had a government request to measure quantity of customers outside a particular business radius of 40km. Meaning what percent of total visits are in the radius vs outside it. I had 8k postal codes. This took me literally 5 minutes in tableau, I would hate to see how long this would take you writing code. ..Just the tip of the example iceberg.
A programmers whose job is to make these kinds of reports will already have information about postcodes and so on, and take less time than you. Tableau is quick at doing simple things, but takes a lot of learning to do complex things. Often, you will have to resort to custom scripts, creating views, etc. Often, it just won't have the ability to do certain things. Anyone with any experience in drag and drop applicatio…